Triple

T21369322
Position Surface form Disambiguated ID Type / Status
Subject Zeng Liqing E527009 entity
Predicate familyName P18 FINISHED
Object Zeng NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Zeng | Statement: [Zeng Liqing, familyName, Zeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeng
Context triple: [Zeng Liqing, familyName, Zeng]
  • A. Zeng chosen
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • B. Zheng
    Zheng is the given name of Qin Shi Huang, the first emperor who unified China and founded the Qin dynasty.
  • C. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • D. Zhou
    Zhou is a common Chinese surname borne by many notable figures in Chinese history and politics.
  • E. Zhengping
    Zhengping is a Chinese given name commonly used for males and composed of characters that often convey meanings related to righteousness and peace.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0ad04e081908ff02b2ee2bc7485 completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:09 p.m.